Improving Model-Based Gas Turbine Fault Diagnosis Using Multi-Operating Point Method

Amin Salar, S. M. Hosseini, Behnam Rezaei Zangmolk, A. Khaki‐Sedigh
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引用次数: 8

Abstract

A comprehensive gas turbine fault diagnosis system has been designed using a full nonlinear simulator developed in Turbotec company for the V94.2 industrial gas turbine manufactured by Siemens AG. The methods used for detection and isolation of faulty components are gas path analysis (GPA) and extended Kalman filter (EKF). In this paper, the main health parameter degradations namely efficiency and flow capacity of the compressor and turbine sections are estimated and the responsible physical faults such as fouling and erosion are found. Two approaches are tested: The single-operating point and the multi-operating point. Simulation results show good estimations for diagnosis of most of the important degradations in the compressor and turbine sections for the single-point and improved estimations for the multi-point approach.
基于模型的燃气轮机多工作点故障诊断改进
针对西门子公司生产的V94.2型工业燃气轮机,采用Turbotec公司开发的全非线性仿真器设计了燃气轮机综合故障诊断系统。用于故障部件检测和隔离的方法有气路分析(GPA)和扩展卡尔曼滤波(EKF)。本文对压气机和透平段的效率和流量等主要健康参数的退化进行了估计,并找出了相应的物理故障,如污垢和侵蚀。测试了两种方法:单工作点和多工作点。仿真结果表明,单点方法和改进的多点方法对压气机和涡轮部分的大多数重要退化的诊断有较好的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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